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# What is the semi interquartile range?

222324 ###### 2011-03-17 14:26:13

The semi interquartile range is a measure for spread or dispersion. To find it you have to subtract the first quartile from Q3 and divide that by 2,

(Q3 - Q1)/2

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## Related Questions You find the semi interquartile range by subtracting the 25th percentile (Q1) from the 75th (Q3) percentile and dividing by 2. So, the formula looks like : (Q3 - Q1)/2 what is the interquartile range of 16,17,19,22,23,25,27,36,38,40,40,45,46 The interquartile range is less likely to be distorted by outliers (extreme values).  The interquartile range of a set of data is the difference between the upper quartile and lower quartile. If presents you with the upper and lower quartile range, although you have to do calculations in order to find the interquartile range, so no, it does not, The interquartile range is the upper quartile (75th percentile) minus (-) the lower percentile (75th percentile). The interquartile range uses 50% of the data. It is a measure of the "central tendency" just like the standard deviation. A small interquartile range means that most of the values lie close to each other.    Range = maximum - minimum Interquartile range = Value of 75th percentile - value of 25th percentile. The 75th percentile is the value such that 25% of the observations are bigger and 75% are smaller. Some measures:Range,Interquartile range,Interpercentile ranges,Mean absolute deviation,Variance,Standard deviation.Some measures:Range,Interquartile range,Interpercentile ranges,Mean absolute deviation,Variance,Standard deviation.Some measures:Range,Interquartile range,Interpercentile ranges,Mean absolute deviation,Variance,Standard deviation.Some measures:Range,Interquartile range,Interpercentile ranges,Mean absolute deviation,Variance,Standard deviation. In general, you cannot. If the distribution can be assumed to be Gaussian [Normal] then you could use z-scores. If you are talking about statisitics, in a box and whisker graph it is the interquartile range.  The interquartile range is well known as a measure of statistical dispersion. It is equal to difference between upper and lower quartiles. The quartiles is a type of quantile.  An interquartile range is a measurement of dispersion about the mean. The lower the IQR, the more the data is bunched up around the mean. It's calculated by subtracting Q1 from Q3.  It is important in any statistic measure The Interquartile Range because it affects how much space is left between the median on either side....So there you go! I hope that I helped You... : D The answer depends on the purpose. The interquartile range and the median absolute deviation are both measures of spread. The IQR is quick and easy to find whereas the MAD is not. It can if the middle 50% all have the same score It is the upper quartile minus the lower quartile. Graphing to determine difference between third and first quartile as well as to find the median between the two. Also known as semi-interquartile range.

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